Harnham
Backend Software Engineer
FinTech AI Startup | NYC (Hybrid)
$160,000 - $180,000 + Equity
Join a fast-growing, venture-backed AI startup on a mission to revolutionize cloud financial optimization. Based in New York's West Village, this company is automating one of the most complex cost centers in tech. Their proprietary AI platform combines machine learning, automation, and intelligent rate optimization to help companies scale efficiently.
With recent funding secured and major growth on the horizon, they're hiring a Backend Engineer to help scale the core infrastructure and build out a suite of API-driven, data-intensive microservices.
THE ROLE
This is a high-impact backend engineering role sitting at the intersection of software, infrastructure, and data. You'll be working across multi-cloud environments (primarily AWS), building scalable systems for data processing, financial modeling, and automation.
You'll work closely with the CTO and a lean team of highly skilled engineers (currently 6 total).
Expect fast build cycles, flexible working hours, and ownership from day one.
What you'll be doing: Build and maintain scalable microservices using Python and serverless AWS technologies Design high-performance APIs and endpoints for real-time data retrieval Architect cloud-native infrastructure using Terraform (IaC) Own CI/CD workflows using GitLab Actions Develop and optimize large-scale data pipelines for AI/ML financial insights Ensure robust API security (OAuth/OpenAPI) and cloud compliance standards THE TECH STACK
Languages:
Python, SQL Cloud:
AWS (with exposure to GCP a plus) Infra:
Docker, Kubernetes, Terraform Pipelines:
ETL, unstructured-to-structured data transformation CI/CD:
GitLab Actions YOUR BACKGROUND
Must-haves:
4+ years' experience in software engineering with cloud and data focus Strong expertise in AWS and Terraform Proven track record building data pipelines and backend APIs Experience working with unstructured data at scale Deep understanding of infrastructure and cloud cost considerations Clear communicator, team-first, thrives in fast-paced environments Nice-to-haves:
Startup experience Machine learning integration exposure GCP or multi-cloud experience AWS certifications Not the right fit if:
You come from a heavily siloed or large enterprise/consulting background where breadth of technical ownership was limited.
WHY JOIN?
Equity in a fast-scaling, AI-driven FinTech Opportunity to join at Series A, own critical parts of the platform CTO-led engineering culture: collaborative, ego-free, impact-first Flexible hybrid model (3 days in office, no set days) Tech-first environment with diverse challenges-no siloes here Perks:
Unlimited PTO + mandatory company shutdowns in August & December 16-week fully paid parental leave 30-day sabbatical every 4 years Premium healthcare (75% employer-covered) Work-from-office in the heart of West Village Startup pace with mature engineering culture
INTERVIEW PROCESS 15-min intro
with CTO - explore your background & engineering approach 30-min technical/behavioral
interview - live coding + problem-solving Take-home assignment
(~2 hours) Review session
with CTO Final interview
with co-founders/team (remote or onsite)
They move fast-can wrap everything up within two weeks
FinTech AI Startup | NYC (Hybrid)
$160,000 - $180,000 + Equity
Join a fast-growing, venture-backed AI startup on a mission to revolutionize cloud financial optimization. Based in New York's West Village, this company is automating one of the most complex cost centers in tech. Their proprietary AI platform combines machine learning, automation, and intelligent rate optimization to help companies scale efficiently.
With recent funding secured and major growth on the horizon, they're hiring a Backend Engineer to help scale the core infrastructure and build out a suite of API-driven, data-intensive microservices.
THE ROLE
This is a high-impact backend engineering role sitting at the intersection of software, infrastructure, and data. You'll be working across multi-cloud environments (primarily AWS), building scalable systems for data processing, financial modeling, and automation.
You'll work closely with the CTO and a lean team of highly skilled engineers (currently 6 total).
Expect fast build cycles, flexible working hours, and ownership from day one.
What you'll be doing: Build and maintain scalable microservices using Python and serverless AWS technologies Design high-performance APIs and endpoints for real-time data retrieval Architect cloud-native infrastructure using Terraform (IaC) Own CI/CD workflows using GitLab Actions Develop and optimize large-scale data pipelines for AI/ML financial insights Ensure robust API security (OAuth/OpenAPI) and cloud compliance standards THE TECH STACK
Languages:
Python, SQL Cloud:
AWS (with exposure to GCP a plus) Infra:
Docker, Kubernetes, Terraform Pipelines:
ETL, unstructured-to-structured data transformation CI/CD:
GitLab Actions YOUR BACKGROUND
Must-haves:
4+ years' experience in software engineering with cloud and data focus Strong expertise in AWS and Terraform Proven track record building data pipelines and backend APIs Experience working with unstructured data at scale Deep understanding of infrastructure and cloud cost considerations Clear communicator, team-first, thrives in fast-paced environments Nice-to-haves:
Startup experience Machine learning integration exposure GCP or multi-cloud experience AWS certifications Not the right fit if:
You come from a heavily siloed or large enterprise/consulting background where breadth of technical ownership was limited.
WHY JOIN?
Equity in a fast-scaling, AI-driven FinTech Opportunity to join at Series A, own critical parts of the platform CTO-led engineering culture: collaborative, ego-free, impact-first Flexible hybrid model (3 days in office, no set days) Tech-first environment with diverse challenges-no siloes here Perks:
Unlimited PTO + mandatory company shutdowns in August & December 16-week fully paid parental leave 30-day sabbatical every 4 years Premium healthcare (75% employer-covered) Work-from-office in the heart of West Village Startup pace with mature engineering culture
INTERVIEW PROCESS 15-min intro
with CTO - explore your background & engineering approach 30-min technical/behavioral
interview - live coding + problem-solving Take-home assignment
(~2 hours) Review session
with CTO Final interview
with co-founders/team (remote or onsite)
They move fast-can wrap everything up within two weeks